Pregled bibliografske jedinice broj: 29060
Neural Network for Classification based on Nondestructive Testings
Neural Network for Classification based on Nondestructive Testings // The 5th World Conference of Timber Engineering : proceedings
Lausanne: École polytechnique fédérale de Lausanne (EPFL), 1998. str. 318-326 (predavanje, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Neural Network for Classification based on Nondestructive Testings
(Neural Network for Classification based on Nondestructive Testing)
Autori
Rajčić, Vlatka
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
The 5th World Conference of Timber Engineering : proceedings
/ - Lausanne : École polytechnique fédérale de Lausanne (EPFL), 1998, 318-326
Skup
World Conference of Timber Engineering (5 ; 1998)
Mjesto i datum
Montreux, Švicarska, 01.08.1998. - 20.08.1998
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
neural network; wood grading; nondestructive testing
Sažetak
Proposal for classification of wood members using neural network is presented here. Using nondestructive testing dynamic parameters are obtained for more then 100 wood members of oak timber species. Dynamic parameters (resonant frequency, decrement of vibrational decay and propagation speed of ultrasound waves), moisture, density, boundary conditions and geometry of samples were input while strength values and MOE were output variables. As a result run-time option of NN is obtained as main part of classification system.
Izvorni jezik
Engleski
Znanstvena područja
Građevinarstvo
POVEZANOST RADA
